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DAESO: Detecting And Exploiting Semantic Overlap

Detecting And Exploiting Semantic Overlap. Dutch Sentence Fusion Data. Project description at KNAW Onderzoek Informatie. A project closely related to Daeso. DAESO: Detecting And Exploiting Semantic Overlap. For more information, see the full Project Proposal. Communication and Cognition (C&C). Center for Dutch Language and Speech (CNTS). Prof dr. Walter Daelemans. University of Amsterdam (UvA). Prof dr. Maarten de Rijke. Spraak- en Taaltechnologische Essentiele Voorzieningen In het Nederlands). Added sli...

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DAESO: Detecting And Exploiting Semantic Overlap | daeso.uvt.nl Reviews

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Detecting And Exploiting Semantic Overlap. Dutch Sentence Fusion Data. Project description at KNAW Onderzoek Informatie. A project closely related to Daeso. DAESO: Detecting And Exploiting Semantic Overlap. For more information, see the full Project Proposal. Communication and Cognition (C&C). Center for Dutch Language and Speech (CNTS). Prof dr. Walter Daelemans. University of Amsterdam (UvA). Prof dr. Maarten de Rijke. Spraak- en Taaltechnologische Essentiele Voorzieningen In het Nederlands). Added sli...

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8 publications

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10 algraeph

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DAESO: Detecting And Exploiting Semantic Overlap | daeso.uvt.nl Reviews

https://daeso.uvt.nl

Detecting And Exploiting Semantic Overlap. Dutch Sentence Fusion Data. Project description at KNAW Onderzoek Informatie. A project closely related to Daeso. DAESO: Detecting And Exploiting Semantic Overlap. For more information, see the full Project Proposal. Communication and Cognition (C&C). Center for Dutch Language and Speech (CNTS). Prof dr. Walter Daelemans. University of Amsterdam (UvA). Prof dr. Maarten de Rijke. Spraak- en Taaltechnologische Essentiele Voorzieningen In het Nederlands). Added sli...

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daeso.uvt.nl

1

DAESO: Publications

https://daeso.uvt.nl/publications.html

Detecting And Exploiting Semantic Overlap. Martijn Spitters, Remko Bonnema, Mihai Rotaru, and Jakub Zavrel, Bootstrapping information extraction mappings by similarity-based reuse of taxonomies. Reuse and Adaptation of Ontologies and Terminologies Workshop, EKAW, Lisbon, Portugal, 2010. [ pdf. Erwin Marsi and Emiel Krahmer, Automatic analysis of semantic similarity in comparable text through syntactic tree matching. Proceedings of COLING 2010, Beijing. [ pdf. Erwin Marsi and Emiel Krahmer, Detecting sema...

2

DAESO: Detecting And Exploiting Semantic Overlap

https://daeso.uvt.nl/index.html

Detecting And Exploiting Semantic Overlap. Dutch Sentence Fusion Data. Project description at KNAW Onderzoek Informatie. A project closely related to Daeso. DAESO: Detecting And Exploiting Semantic Overlap. For more information, see the full Project Proposal. Communication and Cognition (C&C). Center for Dutch Language and Speech (CNTS). Prof dr. Walter Daelemans. University of Amsterdam (UvA). Prof dr. Maarten de Rijke. Spraak- en Taaltechnologische Essentiele Voorzieningen In het Nederlands). Added sli...

3

Word Similarity Demo

https://daeso.uvt.nl/demos/index.html

Detecting And Exploiting Semantic Overlap. A command line interface to Eurowordnet for Dutch written in Python. Compute similarity measures for a pair of Dutch words. This demo computes three corpus-based word similarity measures for a given pair of Dutch words:. Resnik's similarity measure as described in Philip Resnik's paper Using Information Content to Evaluate Semantic Similarity in a Taxonomy. 1995) Similarity is expressed as a positive number - the higher the number, the greater the similarity.

4

Dutch sentence fusion data

https://daeso.uvt.nl/dutch-sentence-fusion-data/index.html

Detecting And Exploiting Semantic Overlap. Dutch sentence fusion data. This is a set of Dutch sentence fusion data in the context of question-answering in the medical domain. It consists of sentence fusions of 25 answer pairs, under four different conditions, by 22 participants. It was collected in the experiment described in the paper:. Emiel Krahmer, Erwin Marsi and Paul van Pelt, Query-based sentence fusion is better defined and leads to more preferred results than generic sentence fusion.

5

Algraeph: Graph Alignment Tool

https://daeso.uvt.nl/algraeph/index.html

Detecting And Exploiting Semantic Overlap. A simlar tool for aligning, and searching, parallel treebanks. Algraeph: Graph Alignment Tool. Algraeph is a tool for manual alignment of linguistic graphs, such as phrase structure trees or dependency structures, where each node corresponds to a subsequence of the analyzed input sentence. It allows you to express the similarity between two graphs by aligning their nodes and attaching relation labels to these aligments. Format or in Alpino. April 27, 2010. Last ...

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cnts.ua.ac.be

Automatic Multi-document Summarization Demo

http://www.cnts.ua.ac.be/~iris/sumdemo.html

Automatic Multi-document Summarization Demo for Dutch. This demo is currently unavailable. This automatic summarization demo can summarize up to three documents simultaneously. The summarizer works as follows. It starts with recognizing the separate sentences in the texts. Next it computes for each sentence an importance score. The system sorts the sentences on their importance and extracts the most important 25%(by default) as summary. You can get the latest news here. Or you can go to this page.

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DAESO: Detecting And Exploiting Semantic Overlap

Detecting And Exploiting Semantic Overlap. Dutch Sentence Fusion Data. Project description at KNAW Onderzoek Informatie. A project closely related to Daeso. DAESO: Detecting And Exploiting Semantic Overlap. For more information, see the full Project Proposal. Communication and Cognition (C&C). Center for Dutch Language and Speech (CNTS). Prof dr. Walter Daelemans. University of Amsterdam (UvA). Prof dr. Maarten de Rijke. Spraak- en Taaltechnologische Essentiele Voorzieningen In het Nederlands). Added sli...

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